CSA: Streaming Engine for Internet of Things
CSA: Streaming Engine for Internet of Things
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CSA：物联网流媒体引擎
DOI：
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
Kim Macpherson
中科院分区：
文献类型：
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作者：
Zhitao Shen;Vikram Kumaran;M. Franklin;S. Krishnamurthy;Amit Bhat;Madhu Kumar;Robert Lerche;Kim Macpherson
下一代Internet将包含许多地理分布式，连接的设备连续生成数据流，并需要新的数据处理架构，这些架构可以应对异质性，分布，延迟和带宽处理的挑战。应用程序，并将此类处理嵌入网络中，可以将处理更接近广泛分布的环境中的数据来源根据Cisco连接的流媒体分析平台（CSA），提出了用于物联网（IoT）应用程序的分布式体系结构（IoT）。
The next generation Internet will contain a multitude of geographically distributed, connected devices continuously generating data streams, and will require new data processing architectures that can handle the challenges of heterogeneity, distribution, latency and bandwidth. Stream query processing is natural technology for use in IOT applications, and embedding such processing in the network enables processing to be placed closer to the sources of data in widely distributed environments. We propose such a distributed architecture for Internet of Things (IoT) applications based on Cisco’s Connected Streaming Analytics platform (CSA). In this paper describe this architecture and explain in detail how the capabilities built in the platform address real world IoT analytics challenges.